Colonization of <i>Phaseolus vulgaris</i> nodules by <i>Agrobacterium</i>-like strains
Bibliographic record
Abstract
Non-nodulating Agrobacterium-like strains identified among root nodule isolates of common bean were labeled with gusA, a reporter gene encoding beta-glucuronidase (GUS). Bean plants were then co-inoculated with an infective Rhizobium strain and labeled transconjugants of Agrobacterium-like strains. Blue staining of nodules showed that Agrobacterium-like strains were able to colonize these symbiotic organs. Isolation and characterization by restriction fragment length polymorphism analysis of PCR-amplified 16S rRNA genes revealed a mixed population of Rhizobium and Agrobacterium-like strains in all nodules showing GUS activity. PCR amplification of the nifH gene and nodulation tests did not show any evidence of acquisition of symbiotic gene by lateral transfer from Rhizobium to Agrobacterium-like strains. Moreover, these strains were able to invade mature nodules. Based on sequencing of the 16S rRNA gene, one of these Agrobacterium-like strains showed 99.4% sequence similarity with Agrobacterium bv. 1 reference strains and 99% similarity with an Agrobacterium bv. 1 strain isolated from Acacia mollisima in Senegal. Agrobacterium tumefaciens C58 and the disarmed variant AT123 did not show any ability to colonize nodules. Co-inoculation of bean seeds with Agrobacterium and Rhizobium strains did not enhance nodulation and plant yield under controlled conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".